Job Description
At Avanade, we help organizations use the power of Microsoft technologies to drive meaningful business outcomes. As a Senior Manager, Data Engineering & AI, you will lead complex client engagements, shape innovative data and AI solutions, and oversee delivery across large-scale transformation programs.
This role requires a blend of deep technical expertise, consulting leadership, delivery management, and talent development, operating at the intersection of business strategy, advanced analytics, and AI. You will act as a trusted advisor to senior client stakeholders while building, growing, and leading high-performing, multidisciplinary teams.
Day to Day, You Will:
1. Client Engagement Leadership
Lead end-to-end client engagements from opportunity shaping through delivery execution.
Act as a trusted advisor to senior client stakeholders (Director, VP, and C-level).
Facilitate workshops, discovery sessions, and solution design engagements.
2. Business Development & Practice Growth
Contribute to sales activities, including lead origination, proposal development, and opportunity shaping.
Support the closing of Data & AI deals and expansion of existing client relationships.
Build and evolve go-to-market offerings and reusable accelerators within the Data & AI practice.
3. Talent Leadership
Lead hiring, mentoring, and performance development of data engineering and AI talent.
Evaluate candidates for data engineering and AI roles.
Build and sustain a strong, diverse, and scalable talent pipeline.
4. Solution Architecture & Engineering
Define end-to-end data and AI architectures, including data ingestion, transformation, serving, and AI/ML layers.
Design scalable solutions leveraging Azure, Microsoft Fabric, Databricks, and modern data platforms.
Ensure alignment with enterprise architecture, governance, and security standards.
5. AI & Innovation
Drive adoption of AI and machine learning solutions, including Generative AI and agentic patterns.
Lead proof-of-concept (PoC) and MVP initiatives to validate innovative approaches.
Contribute to internal innovation efforts and thought leadership within the Data & AI practice.
6. Delivery Leadership
Oversee large-scale data engineering, analytics, and AI programs.
Manage cross-functional delivery teams, including data engineers, architects, and data scientists.
Drive quality, risk management, and successful delivery outcomes across engagements.
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Senior Manager, Data Engineering & AI • Toronto, Canada
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